Data augmentation and pre-processing parameters (see Torchvision [31] for implementation details).

Data augmentation and pre-processing parameters (see Torchvision [31] for implementation details).

<p>Data augmentation and pre-processing parameters (see Torchvision [<a href="/article/info:doi/10.1371/journal.pdig.0000078#pdig.0000078.ref031" target="_blank">31</a>] for implementation details).</p>

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Bibliographic Details
Main Author:	Colin L. Cooke (13272523) (author)
Other Authors:	Kanghyun Kim (2415373) (author), Shiqi Xu (2059951) (author), Amey Chaware (13272526) (author), Xing Yao (686631) (author), Xi Yang (112884) (author), Jadee Neff (8616888) (author), Patricia Pittman (9271445) (author), Chad McCall (13272529) (author), Carolyn Glass (427882) (author), Xiaoyin Sara Jiang (13272532) (author), Roarke Horstmeyer (3955844) (author)
Published:	2022
Subjects:	Cell Biology Genetics Biotechnology Cancer Plasma Physics Hematology Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified still poorly understood multiple instance learning morphological impact across commonly diagnosed via automatically diagnose disease across 236 patients cell morphology within patient &# 8217 peripheral blood smear high diagnostic efficacy 19 infection status blood cell types cell types patient level diagnostic information aggregate high xlink "> wide variety visual examination significant link scalable means integrated image based approach
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